Source code for pymunk.contact_point_set

__docformat__ = "reStructuredText"

from typing import TYPE_CHECKING, List, Tuple

if TYPE_CHECKING:
    from ._chipmunk_cffi import ffi

from .vec2d import Vec2d


[docs]class ContactPoint(object): """Contains information about a contact point. point_a and point_b are the contact position on the surface of each shape. distance is the penetration distance of the two shapes. Overlapping means it will be negative. This value is calculated as dot(point2 - point1), normal) and is ignored when you set the Arbiter.contact_point_set. """ point_a: Vec2d point_b: Vec2d distance: float __slots__ = ("point_a", "point_b", "distance")
[docs] def __init__( self, point_a: Vec2d, point_b: Vec2d, distance: float, ) -> None: assert len(point_a) == 2 assert len(point_b) == 2 self.point_a = point_a self.point_b = point_b self.distance = distance
def __repr__(self) -> str: return "ContactPoint(point_a={}, point_b={}, distance={})".format( self.point_a, self.point_b, self.distance )
[docs]class ContactPointSet(object): """Contact point sets make getting contact information simpler. normal is the normal of the collision points is the array of contact points. Can be at most 2 points. """ normal: Vec2d points: List[ContactPoint] __slots__ = ("normal", "points")
[docs] def __init__(self, normal: Vec2d, points: List[ContactPoint]) -> None: assert len(normal) == 2 self.normal = normal self.points = points
def __repr__(self) -> str: return "ContactPointSet(normal={}, points={})".format(self.normal, self.points) @classmethod def _from_cp(cls, _points: "ffi.CData") -> "ContactPointSet": normal = Vec2d(_points.normal.x, _points.normal.y) points = [] for i in range(_points.count): _p = _points.points[i] p = ContactPoint( Vec2d(_p.pointA.x, _p.pointA.y), Vec2d(_p.pointB.x, _p.pointB.y), _p.distance, ) points.append(p) return cls(normal, points)